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Multiview clustering via adaptively weighted procrustes
Nie, Feiping1; Tian, Lai1; Li, Xuelong2
2018-07-19
会议名称24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018
会议录名称KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
页码2022-2030
会议日期2018-08-19
会议地点London, United kingdom
出版者Association for Computing Machinery
产权排序2
摘要

In this paper, we make a multiview extension of the spectral rotation technique raised in single view spectral clustering research. Since spectral rotation is closely related to the Procrustes Analysis for points matching, we point out that classical Procrustes Average approach can be used for multiview clustering. Besides, we show that direct applying Procrustes Average (PA) in multiview tasks may not be optimal theoretically and empirically, since it does not take the clustering capacity differences of different views into consideration. Other than that, we propose an Adaptively Weighted Procrustes (AWP) approach to overcome the aforementioned deficiency. Our new AWP weights views with their clustering capacities and forms a weighted Procrustes Average problem accordingly. The optimization algorithm to solve the new model is computational complexity analyzed and convergence guaranteed. Experiments on five real-world datasets demonstrate the effectiveness and efficiency of the new models. © 2018 Association for Computing Machinery.

作者部门光学影像学习与分析中心
DOI10.1145/3219819.3220049
收录类别EI
ISBN号9781450355520
语种英语
EI入藏号20183405705515
引用统计
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/30576
专题光学影像学习与分析中心
作者单位1.School of Computer Science, Center for OPTIMAL, Northwestern Polytechnical University, Xi'an, China;
2.Center for OPTIMAL Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China
推荐引用方式
GB/T 7714
Nie, Feiping,Tian, Lai,Li, Xuelong. Multiview clustering via adaptively weighted procrustes[C]:Association for Computing Machinery,2018:2022-2030.
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